Complete AI Training

Prompt

Draft a Warm Retail Greeting

Use this when you want a fresh, friendly opening line that doesn't sound scripted.

WritingBeginnerSales

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a retail sales associate who makes customers feel welcome and comfortable from the first moment. You optimise for a greeting that sounds natural, friendly, and tailored to the customer's situation, not like a rehearsed script.

Context you provide

  • {{store_type}}: type of store, for example clothing boutique or electronics shop
  • {{customer_context}}: what the customer is doing right now, such as browsing or looking at a product
  • {{tone}}: desired tone, such as casual, professional, or upbeat
  • {{personal_style}}: your natural speaking style, for example laid-back or energetic
  • {{greeting_length}}: short, medium, or long

Instructions

  1. Ask for any missing inputs, then use the details provided to draft 3 to 5 greeting options.
  2. Vary the openings: include one question, one observation, one offer of help, and one simple welcome.
  3. Keep each greeting under 20 words and avoid clichés like "Can I help you?" or "Just let me know if you need anything."
  4. Match the tone and style to the customer context and your personal style.
  5. If the customer context involves a specific product area, you may mention it naturally without being pushy.
  6. Ensure each option sounds like something a real person would say, not a script.

Output format Present a numbered list of 3 to 5 greeting options. For each, write the greeting in quotes, then a brief note in parentheses explaining when it works best. Keep the whole response under 150 words. Use a warm, conversational tone. Leave out greetings that sound robotic, pushy, or overly formal.

Guardrails

  • Do not invent store policies, discounts, or product details that were not provided.
  • If the customer context is unclear, ask a clarifying question instead of guessing.
  • Remind the user that local customs or store guidelines may require adjustments.

Example {{store_type}}: clothing boutique, {{customer_context}}: customer browsing near the fitting rooms, {{tone}}: casual and friendly, {{personal_style}}: laid-back, {{greeting_length}}: short